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imbalance
View on CRAN: Click
here
Download and install imbalance package within the R console
Install from CRAN:
install.packages("imbalance")
Install from Github:
library("remotes")
install_github("cran/imbalance") Install by package version:
library("remotes")
install_version("imbalance", "1.0.2.1") Attach the package and use:
library("imbalance")
Maintained by
Ignacio Cordón
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-13
Latest Update: 2020-04-07
Description:
Class imbalance usually damages the performance of classifiers. Thus, it is
important to treat data before applying a classifier algorithm. This package
includes recent resampling algorithms in the literature: (Barua et al. 2014)
; (Das et al. 2015) ,
(Zhang et al. 2014) ; (Gao et al. 2014)
; (Almogahed et al. 2014)
. It also includes an useful interface to
perform oversampling.
How to cite:
Ignacio Cordón (2017). imbalance: Preprocessing Algorithms for Imbalanced Datasets. R package version 1.0.2.1, https://cran.r-project.org/web/packages/imbalance. Accessed 25 Jun. 2026.
Previous versions and publish date:
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Complete documentation for imbalance
Functions, R codes and Examples using
the imbalance R package
Some associated functions: banana . ecoli1 . glass0 . haberman . imbalance . imbalanceRatio . iris0 . mwmote . neater . newthyroid1 . oversample . pdfos . plotComparison . racog . rwo . trainWrapper . wisconsin . wracog . yeast4 .
Some associated R codes: RcppExports.R . data.R . imbalance.R . mwmote.R . neater.R . pdfos.R . racog.R . rwo.R . utils.R . zzz.R . Full imbalance package functions and examples
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